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README.md

@@ -1,4 +1,14 @@
 ---
+language:
+- pcm
+license: cc-by-sa-4.0
+task_categories:
+- automatic-speech-recognition
+tags:
+- audio
+- speech
+- naija
+- pidgin
 dataset_info:
   features:
   - name: id
@@ -8,9 +18,7 @@ dataset_info:
   - name: transcription
     dtype: string
   - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
+    dtype: audio
   - name: clip_start_ms
     dtype: int64
   - name: clip_end_ms
@@ -19,15 +27,96 @@ dataset_info:
     dtype: string
   - name: source_url
     dtype: string
-  splits:
-  - name: train
-    num_bytes: 3051079707
-    num_examples: 5883
-  download_size: 3825091782
-  dataset_size: 3051079707
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+size_categories:
+- 1K<n<10K
 ---
+# **Naija-ASR-Corpus v2.0 (NAC-v2.0)**
+
+*A Foundational Automatic Speech Recognition Corpus for Nigerian Pidgin (Naija, PCM)*
+
+---
+
+## 📌 Dataset Summary
+
+**Naija-ASR-Corpus (NAC-v2.0)** is a speech dataset derived from the **Universal
+Dependencies Naija Spoken Corpus (UD_Naija-NSC)**.
+
+The NAC Team processed the original long-form recordings by:
+1. **Segmenting** the audio into sentence-level clips.
+2. **Aligning** each clip to its transcript (`text_ortho`) from the CoNLL-U source.
+3. **Tagging** each sample with a unique id and the original speaker code.
+
+---
+
+## 🧩 Schema
+
+| Column           | Type   | Description                                                        |
+|------------------|--------|----------------------------------------------------------------------|
+| `id`             | string | Unique identifier for this sample (UUID4)                          |
+| `speaker`        | string | Speaker code from the source corpus (`speaker_id` in UD_Naija-NSC) |
+| `transcription`  | string | ASR transcript text                                                 |
+| `audio`          | audio  | The audio clip, 16kHz mono                                          |
+| `clip_start_ms`  | int64  | Clip start offset (ms) in the original long-form recording          |
+| `clip_end_ms`    | int64  | Clip end offset (ms) in the original long-form recording            |
+| `source_sent_id` | string | Sentence id from the UD_Naija-NSC source                            |
+| `source_url`     | string | URL of the original long-form recording                             |
+
+Rows: **5883**
+
+---
+
+## 🛠️ Data Source & Attribution
+
+This dataset is derived from the **Universal Dependencies Naija Spoken Corpus
+(UD_Naija-NSC)**. The original continuous recordings were split into
+sentence-level clips and matched with their transcripts to build ASR-ready
+audio/text pairs.
+
+> This dataset contains content derived from *UD_Naija-NSC (Universal
+> Dependencies Naija Spoken Corpus)*, licensed under **CC-BY-SA 4.0**.
+> - **Original Authors:** UD_Naija-NSC contributors.
+> - **Original License:** https://creativecommons.org/licenses/by-sa/4.0/
+
+---
+
+## 📜 Licensing
+
+Since this dataset is a derivative work of UD_Naija-NSC (CC-BY-SA 4.0), it is
+released under the **Creative Commons Attribution-ShareAlike 4.0
+International (CC BY-SA 4.0)** license.
+
+You are free to:
+- **Share** — copy and redistribute the material in any medium or format.
+- **Adapt** — remix, transform, and build upon the material for any purpose,
+  even commercially.
+
+Under the following terms:
+- **Attribution** — give appropriate credit to UD_Naija-NSC and the NAC Team.
+- **ShareAlike** — distribute your contributions under the same license as
+  the original.
+
+---
+
+## 👥 Contributors
+
+### NAC Team (Dataset Curation & Processing)
+- **Team Lead:** Augustine, Silver, Timmy
+- **Contributors:** Bryan, Ekene, Emmanuella, Shamsa
+
+### Original Data Creators
+- **UD_Naija-NSC Team** (Universal Dependencies)
+
+---
+
+## 🙏 Acknowledgements
+
+This dataset builds on the same UD_Naija-NSC segmentation-and-alignment
+pipeline used to produce [`timniel/Pidgin_ASR_Dataset_Combined`](https://huggingface.co/datasets/timniel/Pidgin_ASR_Dataset_Combined).
+Credit and thanks go to **timniel** and the NAC Team for that earlier
+combined dataset and the processing approach it established — this release
+extends it with per-sample unique IDs, speaker attribution, clip timing,
+and source provenance fields.
+
+---
+
+Pushed to: `voicedata/pidginData`